Data-driven agent-based modeling, with application to rooftop solar adoption
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Yevgeniy Vorobeychik | Haifeng Zhang | Joshua Letchford | Kiran Lakkaraju | Joshua Letchford | Haifeng Zhang | Yevgeniy Vorobeychik | K. Lakkaraju
[1] William Rand,et al. Agent-Based Modeling in Marketing: Guidelines for Rigor , 2011 .
[2] N. Draper,et al. Applied Regression Analysis. , 1967 .
[3] Duncan J. Watts,et al. Empirical agent based models of cooperation in public goods games , 2013, EC '13.
[4] P. Torrens,et al. Building Agent‐Based Walking Models by Machine‐Learning on Diverse Databases of Space‐Time Trajectory Samples , 2011 .
[5] Frank M. Bass,et al. A New Product Growth for Model Consumer Durables , 2004, Manag. Sci..
[6] E. Williams,et al. Analyzing consumer acceptance of photovoltaics (PV) using fuzzy logic model , 2012 .
[7] Michael P. Wellman,et al. History-dependent graphical multiagent models , 2010, AAMAS.
[8] K. Cory,et al. Solar Photovoltaic Financing: Residential Sector Deployment , 2009 .
[9] K. Happe,et al. Research, part of a Special Feature on Empirical based agent-based modeling Agent-based Analysis of Agricultural Policies: an Illustration of the Agricultural Policy Simulator AgriPoliS, its Adaptation and Behavior , 2006 .
[10] C. Harmon,et al. Experience Curves of Photovoltaic Technology , 2000 .
[11] J. Anderies,et al. Governance and the Capacity to Manage Resilience in Regional Social-Ecological Systems , 2006 .
[12] Nurcin Celik,et al. Hybrid agent-based simulation for policy evaluation of solar power generation systems , 2011, Simul. Model. Pract. Theory.
[13] K. Overmars,et al. Research, part of a Special Feature on Empirical based agent-based modeling Multiactor Modeling of Settling Decisions and Behavior in the San Mariano Watershed, the Philippines: a First Application with the MameLuke Framework , 2006 .
[14] Nasser M. Nasrabadi,et al. Pattern Recognition and Machine Learning , 2006, Technometrics.
[15] P. Geroski. Models of technology diffusion , 2000 .
[16] Daniel G. Brown,et al. Effects of Heterogeneity in Residential Preferences on an Agent-Based Model of Urban Sprawl , 2006 .
[17] Trevor Hastie,et al. The Elements of Statistical Learning , 2001 .
[18] Elizabeth James Kistin Keller,et al. Agent Based model of residential Solar PV diffusion. , 2014 .
[19] Varun Rai,et al. GIS-Integrated Agent-Based Modeling of Residential Solar PV Diffusion , 2013 .
[20] Éva Tardos,et al. Maximizing the Spread of Influence through a Social Network , 2015, Theory Comput..
[21] Varun Rai,et al. Determinants of Spatio-Temporal Patterns of Energy Technology Adoption: An Agent-Based Modeling Approach , 2014 .
[22] K. Arrow. The Economic Implications of Learning by Doing , 1962 .
[23] Joseph Andrew McAllister,et al. Solar Adoption and Energy Consumption in the Residential Sector , 2012 .
[24] John H. Miller,et al. Complex Adaptive Systems: An Introduction to Computational Models of Social Life (Princeton Studies in Complexity) , 2007 .
[25] Eric Bonabeau,et al. Agent-based modeling: Methods and techniques for simulating human systems , 2002, Proceedings of the National Academy of Sciences of the United States of America.
[26] Eric R. Ziegel,et al. The Elements of Statistical Learning , 2003, Technometrics.
[27] Michael J. North,et al. Complex adaptive systems modeling with Repast Simphony , 2013, Complex Adapt. Syst. Model..
[28] Winfried Kurth,et al. Facilitating Parameter Estimation and Sensitivity Analysis of Agent-Based Models: A Cookbook Using NetLogo and 'R' , 2014, J. Artif. Soc. Soc. Simul..
[29] Johannes Palmer,et al. Modeling the Diffusion of Residential Photovoltaic Systems in Italy: An Agent-Based Simulation , 2013 .
[30] Andrea Borghesi,et al. Simulation Of Incentive Mechanisms For Renewable Energy Policies , 2013, ECMS.
[31] Wei Chen,et al. Efficient influence maximization in social networks , 2009, KDD.
[32] John H. Miller,et al. Complex adaptive systems - an introduction to computational models of social life , 2009, Princeton studies in complexity.
[33] Michael Kearns,et al. Learning from Collective Behavior , 2008, COLT.
[34] E. Ostrom,et al. Empirically Based, Agent-based models , 2006 .
[35] M. Janssen,et al. Learning, Signaling, and Social Preferences in Public-Good Games , 2006 .
[36] Leo Schrattenholzer,et al. Learning rates for energy technologies , 2001 .
[37] Yevgeniy Vorobeychik,et al. Behavioral dynamics and influence in networked coloring and consensus , 2010, Proceedings of the National Academy of Sciences.
[38] G. Perakis,et al. Consumer Choice Model for Forecasting Demand and Designing Incentives for Solar Technology , 2011 .
[39] F. Bass. A new product growth model for consumer durables , 1976 .
[40] Varun Rai,et al. Diffusion of environmentally-friendly energy technologies: buy versus lease differences in residential PV markets , 2013 .
[41] Thomas Berger,et al. Research, part of a Special Feature on Empirical based agent-based modeling Creating Agents and Landscapes for Multiagent Systems from Random Samples , 2006 .
[42] Christopher M. Bishop,et al. Pattern Recognition and Machine Learning (Information Science and Statistics) , 2006 .
[43] E. Rogers,et al. Diffusion of innovations , 1964, Encyclopedia of Sport Management.
[44] J. Sweeney,et al. Learning-by-Doing and the Optimal Solar Policy in California , 2008 .
[45] Andreas Krause,et al. Adaptive Submodularity: Theory and Applications in Active Learning and Stochastic Optimization , 2010, J. Artif. Intell. Res..
[46] Norman R. Draper,et al. Applied regression analysis (2. ed.) , 1981, Wiley series in probability and mathematical statistics.
[47] Varun Rai,et al. Agent-Based Modeling of Energy Technology Adoption: Empirical Integration of Social, Behavioral, Economic, and Environmental Factors , 2014, Environ. Model. Softw..
[48] V.V.N. Kishore,et al. A review of technology diffusion models with special reference to renewable energy technologies , 2010 .
[49] Kenneth Gillingham,et al. Peer Effects in the Diffusion of Solar Photovoltaic Panels , 2012, Mark. Sci..
[50] Paul Denholm,et al. Solar Deployment System (SolarDS) Model: Documentation and Sample Results , 2009 .
[51] Douglas E. Jones,et al. Parameter estimation and sensitivity analysis in an agent-based model of Leishmania major infection. , 2010, Journal of theoretical biology.